
🎬 Role Prompting: How to...
Role prompting is a powerful prompt engineering technique where you tell an AI to “be” someone — a journalist, teacher, or engineer — to shape tone, reasoning, and output style. It improves domain...
Discover insights, tutorials, and updates about web crawling, data extraction, and how to make the most of WaterCrawl.

Role prompting is a powerful prompt engineering technique where you tell an AI to “be” someone — a journalist, teacher, or engineer — to shape tone, reasoning, and output style. It improves domain...

Temperature in AI models controls how random or creative their text generation is. Low temperatures (≈0–0.3) make outputs precise and factual, while higher ones (≈0.9–1.5) add creativity and unpredictability. By scaling logits before...

Chain-of-Thought (CoT) prompting teaches AI models to “think out loud,” showing each reasoning step before reaching an answer. This structured, step-by-step approach improves accuracy, transparency, and trust across complex reasoning tasks. In short,...

LoRA and QLoRA are efficient fine-tuning techniques that drastically reduce the cost and memory requirements of adapting large language models. LoRA achieves this by training only small low-rank adapters, while QLoRA goes further...

Prompt engineering is about crafting clever instructions for one-off AI tasks, while context engineering designs the whole ecosystem of memory, data, and tools around an LLM. By curating, compressing, and orchestrating context, systems become...

Prompting is the golden key to talking with AI. By giving clear, detailed instructions, you unlock AI’s full potential—saving time, getting precise results, and turning it into your creative teammate. Mastering prompting is...

AI is moving from LLMs (language generators) to RAG (retrieval-grounded systems) to AI Agents (autonomous, tool-using workflows). Each stage builds on the last—LLMs provide fluency, RAG adds accuracy with external knowledge, and Agents...

AI agents become powerful not just through language models but through the tools they use. Tools let agents fetch real-time data, automate tasks, and interact with external systems—from booking flights to generating visuals....

AI agents in 2025 are smarter than ever, with open-source frameworks powering automation, research, and real-world apps. 🛠️ From LangChain’s all-round power to Dify’s low-code magic, there’s a tool for every developer, team, or...